Built and maintained a scalable backend with Django serving Web, Android, and iOS platforms for upload, process download, feedback, analytics and history features, supporting 150,000+ registered users and handling 4,000+ daily uploads. Contributed to the frontend by integrating APIs, implementing audio processing features with FFmpeg, and building components using Next.js and Material UI; collaborated with the UI/UX team via Figma to ensure responsive and user-friendly design.
Full Stack Engineer
Available for part-time
Bio
Md Shahiduzzaman S. is a Full Stack Engineer with several years of experience in building scalable web applications, particularly focusing on backend systems and platform reliability. He works extensively with technologies such as Python, JavaScript, TypeScript, and C++, utilizing frameworks like Django, Django REST Framework, and ReactJS to develop APIs and web applications. His expertise also includes PostgreSQL, Redis, Celery, and Next.js, with a strong emphasis on deploying cloud infrastructure using Docker, AWS S3,…
Expertise
PythonReactNextJSAWSDatabase:RelationalSQLHTMLCSSWordPressGitFigmaC++TypescriptJavascript
Video Intro
Assessments
Projects
EnglishTests.ai is an AI-driven English speaking assessment platform designed to help learners improve their pronunciation, fluency, and reading accuracy through automated speech analysis. The platform provides users with a passage to read aloud or allows them to paste their own text. After reviewing the text, users record themselves reading it and upload the audio file for evaluation. Using advanced machine learning and speech-processing models, the system compares the spoken audio against the reference text and generates a detailed pronunciation assessment. The analysis goes beyond a simple score by identifying pronunciation strengths and weaknesses at multiple levels.
Experience
Software Engineer
Inverse.AI· AI/MLAug 2023 — Present- Leading the web team with end-to-end ownership of backend systems, infrastructure, and platform reliability
- Developed Noise Reducer & Remove.Music Web Apps (Next.js + Django), contributing to a 30x increase in platform revenue within two years
- Experienced in deploying and maintaining production-grade systems on both managed platforms and self-managed cloud servers, ensuring scalability, reliability, and low-latency performance
- Deployed ML-powered noise reducer models via Docker on RunPod, creating serverless endpoints, configuring environments, managing error logs, and coordinating with the ML team to ensure stable operations
- Integrated AWS S3 and DigitalOcean Spaces for reliable cloud storage solutions, enabling efficient file upload/download across platforms
- Integrated PayPal and Stripe for the web platform and implemented RTDN and App Store notifications on Android and iOS to manage balance deductions and credit allocations
- Implemented media editing and conversion features using FFmpeg
- Utilized Redis for efficient caching mechanisms
- Managed asynchronous tasks and scheduled jobs using Celery and Celery Beat
- Worked with the OpenAI API, implementing Server-Sent Events (SSE) for real-time message streaming and integrating the File Search API and Vision API for file and image-based interactions
- Utilized the WebCodecs API for browser-based video processing
- Enhanced user experience with intuitive interface design and responsive web applications
- Improved web traffic through basic SEO enhancements on the Noise Reducer frontend, and launched a WordPress blog to further boost organic reach
- Mentored junior developers, conducted code reviews, and assisted with onboarding, fostering a collaborative and growth-oriented development culture
DjangoNext.jsDockerAWS S3DigitalOcean SpacesPayPalStripeFFmpegRedisCeleryOpenAI APIWebCodecs API
Education
B.Sc. Computer Science
International Islamic University ChittagongChittagong, Bangladesh2019 — 2023
Full Stack Engineer
Available for part-time
Md is available for hire
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Bio
Md Shahiduzzaman S. is a Full Stack Engineer with several years of experience in building scalable web applications, particularly focusing on backend systems and platform reliability. He works extensively with technologies such as Python, JavaScript, TypeScript, and C++, utilizing frameworks like Django, Django REST Framework, and ReactJS to develop APIs and web applications. His expertise also includes PostgreSQL, Redis, Celery, and Next.js, with a strong emphasis on deploying cloud infrastructure using Docker, AWS S3,…
- Projects completed2
- Hourly rate
- 3-4 years experience
- Dhaka, Bangladesh
- Member since Jun 2026
Industries
AI/ML
Expertise
PythonReactNextJSAWSDatabase:RelationalSQLHTMLCSSWordPressGitFigmaC++TypescriptJavascript
Video Intro
Assessments
Projects
Built and maintained a scalable backend with Django serving Web, Android, and iOS platforms for upload, process download, feedback, analytics and history features, supporting 150,000+ registered users and handling 4,000+ daily uploads. Contributed to the frontend by integrating APIs, implementing audio processing features with FFmpeg, and building components using Next.js and Material UI; collaborated with the UI/UX team via Figma to ensure responsive and user-friendly design.
EnglishTests.ai is an AI-driven English speaking assessment platform designed to help learners improve their pronunciation, fluency, and reading accuracy through automated speech analysis. The platform provides users with a passage to read aloud or allows them to paste their own text. After reviewing the text, users record themselves reading it and upload the audio file for evaluation. Using advanced machine learning and speech-processing models, the system compares the spoken audio against the reference text and generates a detailed pronunciation assessment. The analysis goes beyond a simple score by identifying pronunciation strengths and weaknesses at multiple levels.
Experience
Software Engineer
Inverse.AI· AI/MLAug 2023 — Present- Leading the web team with end-to-end ownership of backend systems, infrastructure, and platform reliability
- Developed Noise Reducer & Remove.Music Web Apps (Next.js + Django), contributing to a 30x increase in platform revenue within two years
- Experienced in deploying and maintaining production-grade systems on both managed platforms and self-managed cloud servers, ensuring scalability, reliability, and low-latency performance
- Deployed ML-powered noise reducer models via Docker on RunPod, creating serverless endpoints, configuring environments, managing error logs, and coordinating with the ML team to ensure stable operations
- Integrated AWS S3 and DigitalOcean Spaces for reliable cloud storage solutions, enabling efficient file upload/download across platforms
- Integrated PayPal and Stripe for the web platform and implemented RTDN and App Store notifications on Android and iOS to manage balance deductions and credit allocations
- Implemented media editing and conversion features using FFmpeg
- Utilized Redis for efficient caching mechanisms
- Managed asynchronous tasks and scheduled jobs using Celery and Celery Beat
- Worked with the OpenAI API, implementing Server-Sent Events (SSE) for real-time message streaming and integrating the File Search API and Vision API for file and image-based interactions
- Utilized the WebCodecs API for browser-based video processing
- Enhanced user experience with intuitive interface design and responsive web applications
- Improved web traffic through basic SEO enhancements on the Noise Reducer frontend, and launched a WordPress blog to further boost organic reach
- Mentored junior developers, conducted code reviews, and assisted with onboarding, fostering a collaborative and growth-oriented development culture
DjangoNext.jsDockerAWS S3DigitalOcean SpacesPayPalStripeFFmpegRedisCeleryOpenAI APIWebCodecs API
Education
B.Sc. Computer Science
International Islamic University ChittagongChittagong, Bangladesh2019 — 2023
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